[Hiring] AI and LLM Engineer @SAIC

Hiring AI and LLM Engineer @SAIC Back to Remote jobs AI / ML AI and LLM Engineer @SAIC AI / ML Salary unspecified Remote Location 🇺🇸 USA Only Job Type full-time Posted 1mth ago Hiring AI and LLM Engineer @SAIC 1mth ago - SAIC is hiring a remote AI and LLM Engineer. 💸 Salary: unspecified 📍Location: USA This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a hands-on AI & LLM Engineer to join the AWS AI/GenAI Solutions Team within the IRS Advanced Analytics Program (AAP). This role focuses on the practical development and deployment of large language models (LLMs) and GenAI solutions using AWS services such as SageMaker, Bedrock, and open-source frameworks. - Participate in hands-on troubleshooting and debugging of pipelines, deployments, and model behavior. - Document workflows and create reusable templates/accelerators for faster onboarding of new GenAI use cases. - Write production-grade Python code and leverage frameworks such as Hugging Face Transformers, LangChain, PyTorch, or TensorFlow. - Contribute to CI/CD automation for LLM deployments, including rollback and retraining workflows. - Embed bias detection, fairness, and explainability checks in model pipelines, in partnership with Trustworthy AI specialists. - Optimize model performance, latency, and cost through benchmarking, hyperparameter tuning, and scaling strategies. - Code and deploy inference endpoints, APIs, and integration layers for mission teams to consume LLM services. - Implement RAG (retrieval-augmented generation) workflows by integrating LLMs with IRS data sources. - Develop prompt engineering strategies, chaining pipelines, and custom evaluation scripts to validate LLM behavior. - Build end-to-end LLM pipelines: data preparation, training, fine-tuning, and evaluation of models using SageMaker and Bedrock. Qualifications - Practical understanding of LLM evaluation methods (prom